@inproceedings{chen-mu-2025-bridging,
    title = "Bridging the Digital Divide: Empowering Elderly Smartphone Users with Intelligent and Human-Centered Design in Agemate",
    author = "Chen, Liangliang  and
      Mu, Yongzhen",
    editor = "Kamalloo, Ehsan  and
      Gontier, Nicolas  and
      Lu, Xing Han  and
      Dziri, Nouha  and
      Murty, Shikhar  and
      Lacoste, Alexandre",
    booktitle = "Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yuqing-yang-usc/2025.realm-1.23/",
    doi = "10.18653/v1/2025.realm-1.23",
    pages = "327--333",
    ISBN = "979-8-89176-264-0",
    abstract = "As mobile devices become central to modern life, elderly users often struggle with their complexity, leading to digital divide. This paper explores how the integration of Human-Computer Interaction (HCI) principles and Natural Language Processing (NLP) techniques can enhance the way elderly users learn to use smartphones. To demonstrate this approach, we present AgeMate, a prototype mobile agent designed to support seniors in acquiring smartphone skills more intuitively and effectively. Specifically, we investigate how personalizedfeedback generated by large language models (LLMs), appropriate granularity in instructional content, and mechanisms for preventing and correcting user errors can contribute to more adaptive and user-friendly learning experiences for elderly users. Rather than focusing solely on system performance, our study emphasizes the instructional value of NLP-enhanced interaction: enabling step-by-step, conversational teaching tailored to users' real-time context. By analyzing usage patterns and interaction challenges, we propose design strategies that bridge the gap between accessibility and intelligent guidance to better support elderly users in digital environments."
}